Compositional fuzzy modeling of energy- and resource saving in socio-technical systems

Bobryakov, A. and Borisov, V. and Gavrilov, A. and Tikhonova, E. (2019) Compositional fuzzy modeling of energy- and resource saving in socio-technical systems. EAI Endorsed Transactions on Energy Web, 6 (21): e9. ISSN 2032-944X

[img]
Preview
Text
eai.12-9-2018.155863.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (4MB) | Preview

Abstract

The paper poses the problem of increasing the efficiency of energy- and resource saving in socio-technical systems, which consist of resource-intensive subsystems (for example, subsystems of electricity, heat and water supply). A compositional fuzzy model for efficiency estimating of energy- and resource saving of socio-technical systems is proposed. This compositional fuzzy model consists of the following models: firstly, a set of fuzzy cognitive models for estimating the effects of actions on the subsystems’ indicators; secondly, a set of fuzzy rules-based models for efficiency estimating of energy- and resource saving of subsystems; thirdly, a generalized fuzzy model for efficiency estimating of energy- and resource saving of system as a whole. The procedure of compositional fuzzy modeling of energy- and resource saving in socio-technical systems is described.

Item Type: Article
Uncontrolled Keywords: energy- and resource savings; socio-technical system; rules-based fuzzy model; fuzzy cognitive model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 21 Sep 2020 13:29
Last Modified: 21 Sep 2020 13:29
URI: https://eprints.eudl.eu/id/eprint/507

Actions (login required)

View Item View Item